Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Study on the Key Technology of GIS/GPS Data Pretreatment for Traffic Condition Detection

Authors
Yanlong Chu
Corresponding Author
Yanlong Chu
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.8How to use a DOI?
Keywords
GIS; GPS; Road Condition; Monitoring System
Abstract

With vehicles with vehicle-mounted GPS device gradually increased, GPS floating car technology has become a new type of road traffic state detection method. GPS and GIS data preprocessing is to achieve the basic link GPS floating vehicle technology and can provide more reliable data source for road traffic state detection. All of those have a direct impact on the efficiency and accuracy of the traffic state detection. Therefore, in-depth study of GPS and GIS data preprocessing key technology for GPS-based floating car road traffic status detection is much meaning and important.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.8How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanlong Chu
PY  - 2016/06
DA  - 2016/06
TI  - Study on the Key Technology of GIS/GPS Data Pretreatment for Traffic Condition Detection
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 38
EP  - 43
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.8
DO  - 10.2991/mmebc-16.2016.8
ID  - Chu2016/06
ER  -